There are multiple distinct sources through which numerous news contents that occur in
digital medium tend to converge. Web contents constitute massive number of features …

Purpose The objective is to develop a more effective model that simplifies and accelerates
the news classification process using advanced text mining and deep learning (DL) …

Abstract Convolutional Neural Networks for text categorization allows the extraction of
features from the text represented through word embedding. The high dimensionality of the …

Given the emergence of China as a political and economic power in the 21st century, there
is increased interest in analyzing Chinese news articles to better understand developing …

As more and more sources publish a large amount of news on the Internet every day, it is
necessary to categorize news articles so that users can effectively obtain information. The …

Text categorization is one of the important areas of research in the field of natural language
processing and machine learning. The relevance of the topic is due to the demand for …

The rise of social media has changed how people view connections. Machine Learning (ML)-
based sentiment analysis and news categorization help understand emotions and access …

The requirement for the applied innovation to farming water system is especially required for
supplies, as rural water system focuses. Supplies as one of horticulture water system asset …

With Countless Arabic news articles published daily; users have become increasingly
concerned about obtaining news from credible sources. Nonetheless, to individuals …

Introducción: La minería de opinión resulta de gran interés y utilidad para la sociedad y
sectores importantes de la economía. Los textos de las opiniones son datos complejos …